联合BEMD和WMM方法实现位场多尺度边界检测

Multi-scale Edge Detection of Potential Field Using the BEMD and WMM Methods

  • 摘要: 利用不同尺度下的位场数据进行边界检测可获得相应的多尺度边界信息,其在区域地质构造单元划分、地质填图、矿产资源圈定和结晶基底研究等方面具有广泛应用。通过联合二维经验模态分解(bi-dimensional empirical mode decomposition, BEMD)和小波模极大值(wavelet modulus maximum, WMM)方法实现位场数据多尺度分解及各尺度异常边界检测,首先,证明了BEMD方法能够实现对位场的多尺度分解,且分解各尺度异常具有实际地质含义;然后,对构建的模型重力异常进行边界检测,结果显示, WMM方法具有良好的抗噪声干扰能力,能够清晰、准确地检测出组合模型体的边界位置、走向及分布范围;最后,将该联合方法用于三峡地区布格重力异常的多尺度分解和各级固有模态函数的边界检测,结合径向对数功率谱曲线对分解各尺度异常进行场源深度估计,得到了三峡地区不同深度层位上的构造或岩体线性分布特征,并对各尺度异常边界检测结果与区域地质构造特征进行了比较分析和解释,验证了该方法的优越性和有效性。

     

    Abstract:
      Objectives  Multi-scale boundary information can be obtained using potential field data at different scales, which having an important practical value on account of the tectonic division, geological mapping orebody delineation and the research of crystalline basement.
      Methods  We use the bi-dimensional empirical mode decomposition (BEMD) and the wavelet modulus maximum (WMM) methods to obtain the multi-scale boundary detection of potential field data.Firstly, it is shown that the BEMD method can realize the multi-scale decomposition of potential field data, and the anomalies at different scales possess practical geological significance. Secondly, the model test established by this paper shows that WMM method has the ability of resisting the noise interference so as to detect the boundary of the combined model about the distribution, location and direction clearly and accurately using the gravity anomalies. Finally, this paper also achieves the results of multi-scale decomposition of the Bouguer gravity anomalies in the Three Gorges region by BEMD algorithm, and estimates the approximate depth of the buried source by the radial logarithmic power spectrum of each BIMF (bi-dimensional intrinsic mode function)and residue, and we deal with each BIMF using WMM method so as to obtain the distribution characteristic of the structure and rock mass in different depths.
      Results and Conclusions  The results of boundary detection at all levels are analyzed and explained according to the regional geology structure feature, the advantage and effectiveness of this method is verified in the end.

     

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